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Airfield Surveillance       

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24/7 observation with logging
Take-off / landing fee payment
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Event Logging

AI based event detection with pre-defined zones
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Movement & Position

Movement & GPS logging with time stamp
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Payments

Provision of aerodrome payment function
A great product & great partners:
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The iwiAI system delivers a new level of transparency and efficiency in monitoring aircraft and helicopter activity at airports and helipads. By seamlessly combining transponder data with visual recognition technology, iwiAI creates a precise and reliable log of all aircraft movements.
Traditional transponder-only systems often miss aircraft without active signals, while visual observation alone can lack accuracy in identification. iwiAI bridges this gap: transponder feeds confirm aircraft identity, type, and flight path, while visual data ensures detection even in cases of missing or incorrect transponder information. Together, these sources provide a comprehensive, verifiable record of ground and air operations.
This dual-source approach adds value across multiple areas:
  • Operational awareness: Airport operators gain real-time insights into movements, supporting safe and efficient traffic activity logging with visual evidence.
  • Accuracy: The iwiAI geo-fencing configuration enables time referenced position tracking.
  • Efficiency: Automated tracking reduces manual logging.
  • Scalability: The system adapts to airports of any size and to helipads where traditional surveillance is limited, placing as many cameras as needed. Visual events are a result of combined camera detections.
By combining advanced sensing with intelligent integration, iwiAI transforms how aircraft activity is monitored and documented—delivering safer, smarter, and more reliable airport and helipad operations.
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​For our customers, we provide online information about system installation, app functionality and Q&A.
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Access -> iwiAI Manual Online


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​Visual Object Detection & Classification​

The system detects objects (aircraft, vehicles and persons) that are within the cameras observed area. It classifies different object categories and shows the detection in the camera image and on the map. Further the object position is calculated, providing a GPS location with actual timestamp. Data privacy is respected by pixelate person detections.


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Transponder (ADSB & FLARM) Detection

All aircraft equipped with active ADS-B or FLARM systems can be detected within the airport area using systems provided by our trusted partners — JetVision in Europe and 1200.aero in the United States. Within our application, aircraft callsigns are automatically linked to corresponding visual detections, enabling accurate documentation of take-offs and landings by combining transponder data with visual tracking. Our advanced visual detection system also captures take-off and landing events that may not be registered by transponder signals, ensuring comprehensive coverage and reliable event documentation.

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​Aerodrome Logbook

The system continuously collects and logs both transponder and visual events, with data retained for a 12-month period. All events are automatically organized in a calendar-based virtual logbook, where each entry includes associated callsigns and visual detections. Designed to support 24/7 airfield operations monitoring, our logbook provides a reliable and structured overview of aircraft activity, enhancing situational awareness and operational oversight.

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​24/7 Operation

The system operates continuously, 24/7, thanks to night-color capable cameras that enable visual event detection even in low-light conditions. Its architecture combines cloud-based and local computing, ensuring reliable performance and flexibility. Operators can easily access system data from both desktop and mobile devices, allowing real-time monitoring and control. The system is designed to function in all weather conditions, with performance naturally dependent on visibility.

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Automated Visual Callsign Detection

Our system utilizes high-quality, professional-grade surveillance cameras capable of automatically detecting, reading, and logging visible aircraft callsigns into the virtual logbook. In addition to visual logging, the captured data is cross-referenced with detected transponder information, ensuring accurate identification and event validation.

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13:15:40 UTC - DECLG


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​Payments

Our payment solution is offered together with our partners. This improves payment efficiency, keeps flexibility and ensures 24/7 payment option. 


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​Connectivity App

The system delivers real-time events directly to the mobile device of the aerodrome operator, providing timely updates on approaching and departing aircraft, as well as automatically documenting take-offs and landings.
ach aerodrome is individually configured with geo-referenced alarm zones, forming the basis of the iwiAI warning and alert logic. Protected areas will generate alerts when unauthorized vehicles or individuals are detected entering the zone.
hen the airfield is closed and set to "Surveillance Mode," any unauthorized aircraft movement—such as landings or departures — is automatically reported as an alarm, helping to prevent illegal or uncoordinated operations.

The app is available for Windows, Android and IOS with regular updates to ensure ongoing reliability and performance.

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Pricing for the Visual Surveillance System for Small Aerodromes

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​Airfield Warning Zone (new Research & Development)

We are continuously advancing the research and development of our system to introduce new features that enhance safety and operational efficiency. One upcoming feature under development is the ability to visually detect vehicles on the runway and automatically generate a FLARM warning zone.
This information can be transmitted to compatible avionics systems and displayed to pilots of approaching aircraft in real time.
eveloped in collaboration with FLARM, Air Avionics, and Funke Avionics, this innovative capability aims to further improve safety at small aerodromes, especially during 24/7 operations. Updates on this feature will be shared as development progresses.


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